RCN-UBE: Networking Next Gen Biologists with Community College Educators

这个RCN-UBE项目旨在利用大数据集（下一代生物学家）将社区大学教育工作者和生物学家联系起来，以促进社区大学学生的数据素养。下一代生物学导致了许多类型的生物数据的巨大增长，这使得所有生物学学生都有机会获得建立数据素养的教育经验变得非常重要。然而，由于使用大数据所需技能的快速发展，许多STEM教育工作者缺乏当代数据素养技能。就如何在课堂上以学生可以访问的方式使用数据并培养数据素养技能的培训更少。该项目旨在通过提高教师对下一代生物学数据分析的能力来改善本科STEM教学和学习。要做到这一点，网络参与者将创建资源，让不同的本科生在入门课程的尖端方法。该网络还将通过提高参与者对影响学生获得生物数据素养技能和定量生物学研究方法的问题的认识，促进公平和多样性。学位授予机构和社区学院教师从事一系列专业学习经验，旨在支持所有参与者建立有关学生生物学发展的知识，数据素养和定量研究技能。为了提高参与者的认识和代理，讨论侧重于多样性，公平和包容性将是每个专业学习活动的组成部分。 在一系列专业学习活动之后，该网络的成员将共同创建课程资源，公平地让学生分析和解释在真实研究环境中建立的大型数据集。该项目将产生基于当代定量生物学研究的强大的教学策略和课程资源，一系列促进专业发展研讨会的指南，涉及教育和科学研究领域的专业人士，以及扩大本科生物学教师和研究机构科学家的网络，使学生掌握定量生物学技能。科学，生物基础设施部，教育和人力资源局，本科教育部，作为他们努力解决本科生物学教育的愿景和变革所带来的挑战的一部分：行动呼吁（http：//visionandchange/finalreport/）。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

This RCN-UBE project seeks to network community college educators and biologists using big datasets (next gen biologists) to promote data literacy in community college students. Next gen biology has led to a huge increase in many types of biological data making it important that all biology students have access to educational experiences that build data literacy. However, due to the rapidly evolving nature of skills needed to work with big data, many STEM educators lack contemporary data literacy skills. Even fewer have training on how to use data in the classroom in a way that is accessible to students and builds data literacy skills. This project aims to improve undergraduate STEM teaching and learning by increasing faculty capability with next gen biology data analysis. To do this the network participants will create resources to engage diverse undergraduates in cutting edge methods in introductory courses. The network will also promote equity and diversity by enhancing participant awareness of issues that impact student access to biological data literacy skills and quantitative biology research methods.This project will bring together next gen biologists from non-degree granting institutes and community college faculty to engage in a series of professional learning experiences designed to support all participants to build knowledge about students’ development of biological data literacy and quantitative research skills. To promote participants’ awareness and agency, discussions focused on diversity, equity, and inclusion will be integral to each professional learning event. Following the series of professional learning events, members of the network will co-create curricular resources that equitably engage students in analyzing and interpreting large datasets founded in authentic research contexts. The project will generate robust instructional strategies and curricular resources founded in contemporary quantitative biology research, a series of guides for facilitating professional development workshops involving professionals from education and scientific research fields, and an expanded network of undergraduate biology faculty and scientists at research institutes engaging students in quantitative biology skills.This project is being jointly funded by the Directorate for Biological Sciences, Division of Biological Infrastructure, and the Directorate for Education and Human Resources, Division of Undergraduate Education as part of their efforts to address the challenges posed in Vision and Change in Undergraduate Biology Education: A Call to Action (http://visionandchange/finalreport/).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.